Anomaly Detection of System Logs Based on Natural Language Processing and Deep Learning.
Mengying WangLele XuLili GuoPublished in: ICFSP (2018)
Keyphrases
- deep learning
- anomaly detection
- natural language processing
- unsupervised learning
- machine learning
- intrusion detection
- information extraction
- anomalous behavior
- natural language
- detecting anomalies
- intrusion detection system
- network traffic
- weakly supervised
- network intrusion detection
- mental models
- wordnet
- supervised learning
- named entities
- named entity recognition
- network anomaly detection
- question answering
- knowledge representation
- text mining
- one class support vector machines
- detect anomalies
- model selection
- text classification
- domain specific
- dimensionality reduction
- semi supervised
- data analysis
- reinforcement learning
- computer vision